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Design and implement secure, distributed synchronization and networking systems for AI operations across edge, cloud, isolated, and air-gapped environments. Develop CRDT-based frameworks using content-addressable storage and Merkle trees, optimize distributed software under constrained connectivity, and integrate cryptographic security practices. Collaborate with MLOps, infrastructure, and security teams while maintaining rigorous testing, observability, and reliability standards. Development is primarily in Rust.

Design, automate, secure, and operate infrastructure for AI workloads across multi-cloud, hybrid, and edge environments. Build infrastructure as code, Kubernetes platforms, CI/CD pipelines, MLOps automation, observability systems, and cloud security controls. Participate in incident response, reliability improvements, disaster recovery, and documentation while mentoring other engineers.

Creates polished, on-brand visual designs for web, mobile, digital marketing, and go-to-market channels. Scales campaign identities across web pages, decks, social, email, events, and sales collateral; builds reusable templates; maintains brand assets; and ensures flawless layout, imagery, and typography. Collaborates with design, marketing, writing, and technical partners, works from evolving inputs, and improves creative workflows using AI and template tooling.

Lead messaging, positioning, and go-to-market for commercial and public sector audiences. Translate technical AI capabilities into clear narratives, build demos and sales enablement assets, drive product launches, and partner across product, engineering, sales, and BD to accelerate pipeline and influence roadmap.

Own the developer platform end to end, including SDKs, APIs, developer experience, self-serve onboarding, templates, documentation, and community support. Translate developer and customer needs into platform strategy and roadmap, drive high-stakes initiatives, guide API and SDK design with engineering, arbitrate cross-functional requirements, and establish scalable product patterns for internal and external developers.

The Senior Machine Learning Engineer will design and deploy AI systems, optimize production models, and ensure efficient performance in resource-constrained environments.

The Director of Applied AI leads the development and deployment of AI solutions for clients, manages cross-functional teams, and drives innovation in distributed AI infrastructure.

Lead the development of AI systems integrating computer vision and language understanding, focusing on reinforcement learning and multimodal AI architectures.

The AI Research Scientist will design, train, and optimize state-of-the-art machine learning models, conduct research on model efficiency, and collaborate with engineering teams to ensure real-world impact.

As an R&D Software Engineer, you'll rapidly prototype AI technologies, translating theoretical research into practical implementations while collaborating with cross-functional teams.